Cardiovascular Demands and Adaptations from Practicing Hot Yoga
Bibliographic record
Abstract
Background: Hatha yoga has become a popular form of exercise that has demonstrated to elicit marked increases in muscular strength and muscular flexibility. However, minimal inquiry towards its influence on cardiovascular health and performance is available. Methods: Published investigations including and preceding December 2016 were systematically reviewed and appraised. The terms, “Yoga”, “Yoga AND Exercise”, “Yoga AND Exercise Test” identified 337 articles, 6 of these articles were relevant and utilized in this review. Results: The cardiovascular demands on a Bikram yoga class appear to be light in nature while further demonstrating individual variation in metabolic cost and heart rate. The variations observed may have been a result of a diverse sample size with age, sex and fitness. Short term (ie. 8 wks) adaptions failed to demonstrate a significant difference in resting cardiovascular measurements with minimal support for enhancing aerobic power. Long term (ie. 1yr) Bikram yoga practice may elicit position adaptions in resting heart rate, systolic and diastolic blood pressure in obese individuals. There remained a lack of significant difference when examining cardiovascular performance measures between long term and novice Bikram yoga practitioners. Conclusions: Bikram yoga continues to increase in popularity as an alternative exercise option; however minimal evidence exists demonstrating its positive impact on cardiovascular health and performance. It appears this form of light exercise may be an effective and exciting means of activity for individuals looking to start an exercise program. Individuals wishing to pursue this form of exercise are encouraged to acquire approval and consent from a medical doctor and a certified exercise professional prior to starting
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.060 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".